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10 changes: 10 additions & 0 deletions lib/matplotlib/axes/_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -2439,6 +2439,16 @@ def handle_single_axis(scale, autoscaleon, shared_axes, interval,
dl.extend(y_finite)

bb = mtransforms.BboxBase.union(dl)
# fall back on the viewlimits if this is not finite:
vl = None
if not np.isfinite(bb.intervalx).all():
vl = mtransforms.BboxBase.union([ax.viewLim for ax in shared])
bb.intervalx = vl.intervalx
if not np.isfinite(bb.intervaly).all():
if vl is None:
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I would have just stupidly recalculated vl. 😄 This only happens for the degenerate case that bb.intevalx and bb.intervaly contain non-finite values. IMHO preferable due to symmetry and simpler logic of the code.

vl = mtransforms.BboxBase.union(
[ax.viewLim for ax in shared])
bb.intervaly = vl.intervaly
x0, x1 = getattr(bb, interval)
locator = axis.get_major_locator()
x0, x1 = locator.nonsingular(x0, x1)
Expand Down
13 changes: 13 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -6281,3 +6281,16 @@ def test_axis_bool_arguments(fig_test, fig_ref):
ax.axis(False)
ax.axis(True)
fig_ref.add_subplot(212).axis("on")


def test_datetime_masked():
# make sure that all-masked data falls back to the viewlim
# set in convert.axisinfo....
x = np.array([datetime.datetime(2017, 1, n) for n in range(1, 6)])
y = np.array([1, 2, 3, 4, 5])
m = np.ma.masked_greater(y, 0)

fig, ax = plt.subplots()
ax.plot(x, m)
# these are the default viewlim
assert ax.get_xlim() == (730120.0, 733773.0)